I lead products with intentionality from problem statement through design, development and release, pairing a framework I built with whichever AI models fit the work. I keep refining until the product serves the people who use it.
Every product sits inside a set of relationships: the person who uses it and the need they bring, the team that designs and builds it, and the company that makes it and expects a return. Each relationship adds its own expectations and limits. Knowing how they connect tells a team what the product is for, and that knowledge becomes the context everything else is built from.
Design and product management work the same loop from two sides. The weight loss app from section 01 shows it on one feature: people stop logging their meals.
Usage data shows people stop logging meals after two weeks.
Research finds people log at mealtimes, when they are busiest.
Design and product weigh options against effort and cost: meal reminders with one-tap logging.
The release goes out, and the logging rate is the next signal.
Sets the scope, the gates between steps and the timing, so the loop keeps moving.
An AI study tool taken from concept to launch on my own: research, design, build and testing. It adapts to what each learner already knows.
An agentic tool that scopes incoming requests, predicts delivery timelines against a team’s real skills and recommends who to pair on the work.
Owned UX and UI end to end as product designer and product manager, with roadmaps, PRDs, launches and a team of two developers.
Designed the display interfaces for MurCal’s client Bazooka Farmstar. On-site research with its customers in the field found usability fixes and a new product they asked for: a job management tool using engine and fertilizer-flow data, planned alongside the interface improvements.
A four-person intern team built one dashboard for pre-employment onboarding, from contingent offer to ready to start. One of six projects from an internship program I led for four years.
A four-person intern team designed a salary benchmarking tool for the product’s compensation module, cut to what its market data could support. One of six projects from an internship program I led for four years.
I prototype with AI inside the product loop. Each of the three changes here has a place in the loop above.
Working prototypes on the team’s own design system let designers test real interactions with people and hand developers something that already works.
Research, requirements and design rules become the context AI tools work from, so the design intent reaches development and testing.
With AI checking builds against the design system, designers can review fit all the way to release.
I lead product design and product management from the first conversation to release.